A critical scoping review about the impact of music in the lives of young adults who use drugs
Bibliographic record
Abstract
ISSUES: Music is among the most frequently used medium to promote young adults' well-being. To that aim, the efficiency of music is explained by its capacity to modulate emotions through its effect on the brain's reward pathways. Hence, music could help individuals suffering from dysregulations in these pathways, whose experience of positive emotions is often inhibited. Such dysregulations are particularly present in individuals with problematic psychoactive substance (PAS) use, who are overrepresented in the context of homelessness. While few of them initiate treatment, they successfully rely on their own resources to promote their well-being, including music, though its impact in this context remains under-studied. APPROACH: This scoping review describes the impact of music on the well-being, PAS use and addictive trajectory of young housed and homeless individuals with problematic PAS use. Eleven French and English databases were screened for peer-reviewed articles using concepts and keywords related to music, PAS and well-being. From the 3697 results, 39 were reviewed. Results were organised according to the observed impact of music and analysed critically. KEY FINDINGS: Literature shows that PAS users value the impact of music in meeting emotional, psychological and social needs, especially when they experience homelessness. Yet, research has been highly limited to the harmful consequences of music, limiting our knowledge of its potential benefits. IMPLICATIONS AND CONCLUSION: To deepen our understanding about the impact of music, future research should endorse a broader perspective and consider the personal and contextual experiences accompanying the involvement in music, factors that were traditionally overlooked.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".